3 citations · 4 across the 5 of their papers we have counts for
6 papers
PACO: Parts and Attributes of Common Objects
Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic +11
Object models are gradually progressing from predicting just category labels to providing detailed descriptions of object instances. This motivates the need for large datasets whic…
Task Grouping for Multilingual Text Recognition
Jing Huang, Kevin J Liang, Rama Kovvuri +1
Most existing OCR methods focus on alphanumeric characters due to the popularity of English and numbers, as well as their corresponding datasets. On extending the characters to mor…
TextStyleBrush: Transfer of Text Aesthetics from a Single Example
Praveen Krishnan, Rama Kovvuri, Guan Pang +2
We present a novel approach for disentangling the content of a text image from all aspects of its appearance. The appearance representation we derive can then be applied to new con…
A Multiplexed Network for End-to-End, Multilingual OCR
Jing Huang, Guan Pang, Rama Kovvuri +5
Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that includes both detection and recognition leads to the best results. However, many existing methods…
PIRC Net : Using Proposal Indexing, Relationships and Context for Phrase Grounding
Rama Kovvuri, Ram Nevatia
Phrase Grounding aims to detect and localize objects in images that are referred to and are queried by natural language phrases. Phrase grounding finds applications in tasks such a…
Query-guided Regression Network with Context Policy for Phrase Grounding
Kan Chen, Rama Kovvuri, Ram Nevatia
Given a textual description of an image, phrase grounding localizes objects in the image referred by query phrases in the description. State-of-the-art methods address the problem…